文章基本信息

标题：Estimating forest leaf area index using satellite images: comparison of k-NN based Landsat-NFI LAI with MODISRSR based LAI product for Finland
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作者：Sanna Härkönen ; Aleksi Lehtonen ; Terhikki Manninen 等
期刊名称：Boreal Environment Research
印刷版ISSN：1239-6095
出版年度：2015
卷号：20
期号：2
页码：181-195
语种：English
出版社：Finnish Limnological Society
摘要：Leaf area index (LAI) is a key variable for many ecological models, but it is typically not available from basic forest inventories. In this study, we (1) construct a high-resolution LAI map using k nearest-neighbor (k-NN) imputation based on National Forest Inventory data and Landsat 5 TM images (Landsat-NFI LAI), and (2) examine a moderate-resolution LAI map produced based on reduced simple ratio derived from MODIS reflectances (MODISRSR LAI). The maps cover all the forested areas in Finland. Country-level averages of Landsat-NFI and MODIS-RSR LAI were at same level, but several geographical and land-use related differences between them were detected. Difference was the largest in the lake district of Finland and in northern Finland, and it increased with decreasing share of forests and increasing share of deciduous trees. As MODIS-RSR LAI does not take into account the subpixel variation in land use, Landsat-NFI LAI was found to produce more reliable estimates.